2019
DOI: 10.1038/s41598-019-42417-1
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Near full-length HIV-1 subtype B sequences from the early South African epidemic, detecting a BD unique recombinant form (URF) from a sample in 1985

Abstract: HIV-1 subtype C is the most prevalent subtype in South Africa. Although subtype B was previously detected in South Africa, there is limited sequence information available. We characterized near full-length HIV-1 subtype B sequences from samples collected at the start of the South African HIV-1 epidemic, in the 1980s. Five samples were analysed by PCR amplification, Sanger DNA sequencing and phylogenetic analyses. The viral genomes were amplified in two overlapping fragments of 5.5 kb and 3.7 kb. The sequences … Show more

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Cited by 8 publications
(5 citation statements)
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“…To improve the knowledge of the HIV-1 transmission dynamics in the state of São Paulo, Brazil, this study considered a large dataset that examines the demographic and clinical characteristics of individuals infected by the subtypes B, C and F1. The observed prevalence of HIV-1 subtypes was similar to that observed in previous studies in the region being the epidemic was driven by subtype B, followed by subtype F and the less frequent, subtype C ( 21 ). However, when only patients with recent diagnoses (between January 2013 and February 2015) are considered, the frequency of subtype C is about 10%.…”
Section: Discussionsupporting
confidence: 88%
“…To improve the knowledge of the HIV-1 transmission dynamics in the state of São Paulo, Brazil, this study considered a large dataset that examines the demographic and clinical characteristics of individuals infected by the subtypes B, C and F1. The observed prevalence of HIV-1 subtypes was similar to that observed in previous studies in the region being the epidemic was driven by subtype B, followed by subtype F and the less frequent, subtype C ( 21 ). However, when only patients with recent diagnoses (between January 2013 and February 2015) are considered, the frequency of subtype C is about 10%.…”
Section: Discussionsupporting
confidence: 88%
“…To understand the divergence time and evolutionary time scale of 10 HIV-1 sequences obtained with NGS, molecular clock analysis with Bayesian inference was performed with BEAST v2.6 (burn-in = 25%) 52 . For Bayesian inference, the two most early genomic HIV-1 sequences (MN082768 53 and KJ704791 54 ) were included in the genomic sequence alignment, which was used in the genomic phylogenetic analysis above. Based on a previous study on the origin time and the evolutionary time scale of HIV-1 with partial sequence fragments of gag , pol , and env genes 55 , a relaxed clock lognormal clock model and a coalescent Bayesian skyline tree model were selected with MCMC 10,000,000 generation for the inference.…”
Section: Methodsmentioning
confidence: 99%
“…In clinical settings, Sanger bulk sequencing is the most common and widely used for HIV drug resistance testing. The limitation of the Sanger bulk sequencing method is that it can only detect variants with prevalence > 20% which is well known [32][33][34]. Studies have described the presence of minority HIV-1 drug resistance mutations in treatment-naïve patients which could potentially impact treatment outcome [4,13,16,19,35].…”
Section: Introductionmentioning
confidence: 99%